s232979)s222497)s230158)s233374)s233532)Diabetes is estimated to affect approximately 530 million adults worldwide, with a global prevalence of 10.5 percent among adults aged 20 to 79 years. 1
Type 2 diabetes represents approximately 98 percent of global diabetes diagnoses, although this proportion varies widely among
Evaluate the possible factors that affect the appearance of Diabetes Type 2, for further control and prevention.
Source: https://www.kaggle.com/datasets/mathchi/diabetes-data-set
Expected strong correlation between BMI and skin thickness, since skin layer thickness increases with BMI increase.
Weak correlation between insulin and glucose levels, possibly since insulin levels increase when glucose levels rise in the blood during the OGTT.
The data was scaled and centred before performing PCA.
There’s no clear separation between the two classes using only the two best PC.
The first two principal components only account for around 50% of the total variance.
To reach at least 90%, we would have to include 6 PC out of 8.
We’ve found a linear correlation between blood pressure and skin thickness.
PCA couldn’t separate ill individuals from healthy people using only the two best PC.
Obesity is a risk factor for diabetes.
We analysed a dataset containing clinical data about 768 patients, some of them suffering from diabetes.
While we’ve found some correlation between individual properties, it’s hard to tell whether someone is ill just from a subset of features.